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- W2884519144 abstract "Abstract Cellular automata (CA) approaches in wildfire modelling are computationally more efficient than vector-based methods. Despite this advantage, these methods suffer from the lack of physical basis and distortion in simulated fire shapes. To overcome these drawbacks and to perform a real-time interactive crown fire simulation for training use, a new CA model is proposed in which a new spread mechanism is introduced based on the physical equations of reaction and radiation. Then, through a series of crown fire simulations in uniform and heterogeneous synthetic fuel beds, the functional validation of the model and the sensitivity analyses on vegetation parameters are performed. Finally, a case study is discussed to illustrate the application of the model with real-world data. Without any mathematical correction, this method is intrinsically free from the distortion problems found in several CA approaches." @default.
- W2884519144 created "2018-08-03" @default.
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- W2884519144 date "2018-10-01" @default.
- W2884519144 modified "2023-10-01" @default.
- W2884519144 title "Spread vector induced cellular automata model for real-time crown fire behavior simulation" @default.
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- W2884519144 doi "https://doi.org/10.1016/j.envsoft.2018.07.005" @default.
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